From 98ad1370fe3e4e505e66b5389cdf0fc08b91d6f1 Mon Sep 17 00:00:00 2001
From: "Daniel.Frisinghelli" <daniel.frisinghelli@eurac.edu>
Date: Tue, 26 Oct 2021 16:13:48 +0200
Subject: [PATCH] Implemented generic computation of anomalies on arbitrary
time-scale.
---
climax/core/dataset.py | 4 +---
1 file changed, 1 insertion(+), 3 deletions(-)
diff --git a/climax/core/dataset.py b/climax/core/dataset.py
index 83b4dc8..d385cfb 100644
--- a/climax/core/dataset.py
+++ b/climax/core/dataset.py
@@ -250,9 +250,7 @@ class EoDataset(torch.utils.data.Dataset):
# standardized anomaly = (x(t) - mean(x, t)) / std(x, t)
if standard:
- anomalies[time] = (anomalies[time] /
- ds.isel(time=time_scale).std(dim='time')
- )
+ anomalies[time] /= ds.isel(time=time_scale).std(dim='time')
# concatenate anomalies and sort chronologically
anomalies = xr.concat(anomalies.values(), dim='time')
--
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